Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.03295.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:11:25.239032Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T03:33:56.071102Z
Reference resolution
0 of 0 outbound references displayed
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- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b5a79e26-ba0a-487e-b99a-cd02968da0a4 · inbound
Black Hole Spectroscopy with Conditional Variational Autoencoder cites this paper.
Black Hole Spectroscopy with Conditional Variational Autoencoder Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:11:25.239032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fc8aa15-7164-47bc-b6d4-febd498a9fc4 · inbound
Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis cites this paper.
Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:36:41.365223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 02167a6f-8731-417c-9bb9-5ecbf7102c06 · inbound
Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection cites this paper.
Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection Nonlinear noise regression in gravitational-wave detectors with convolutional neural networks
Reference 126
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T03:33:56.072630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.